Summary
Attila Zséder is a data scientist with 14 years of experience applying NLP, machine learning, and recommendation systems to real-world products, currently delivering data-driven features at Lensa. He combines a strong research background from Hungarian institutes (MTA, BME) with hands-on engineering in Python, C/C++ and Java, enabling smooth transitions from prototyping to production. His work spans computational linguistics, text processing on Unix stacks, and recommender algorithms, reflecting both academic rigor and product focus. Comfortable in low-level and high-level code, he brings uncommon depth in text and language engineering alongside practical experience in VoIP and telecom testing early in his career.
14 years of coding experience
7 years of employment as a software developer
Msc, computer science, Msc, computer science at Budapesti Mûszaki és Gazdaságtudományi Egyetem
English, Hungarian, French